Please use this identifier to cite or link to this item:
https://doi.org/10.1021/acssynbio.0c00499
DC Field | Value | |
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dc.title | Evaluating Capture Sequence Performance for Single-Cell CRISPR Activation Experiments | |
dc.contributor.author | Choo, Xin Yi | |
dc.contributor.author | Lim, Yu Ming | |
dc.contributor.author | Katwadi, Khairunnisa | |
dc.contributor.author | Yap, Lynn | |
dc.contributor.author | Tryggvason, Karl | |
dc.contributor.author | Sun, Alfred Xuyang | |
dc.contributor.author | Li, Shang | |
dc.contributor.author | Handoko, Lusy | |
dc.contributor.author | Ouyang, John F | |
dc.contributor.author | Rackham, Owen JL | |
dc.date.accessioned | 2021-05-19T03:14:39Z | |
dc.date.available | 2021-05-19T03:14:39Z | |
dc.date.issued | 2021-03-19 | |
dc.identifier.citation | Choo, Xin Yi, Lim, Yu Ming, Katwadi, Khairunnisa, Yap, Lynn, Tryggvason, Karl, Sun, Alfred Xuyang, Li, Shang, Handoko, Lusy, Ouyang, John F, Rackham, Owen JL (2021-03-19). Evaluating Capture Sequence Performance for Single-Cell CRISPR Activation Experiments. ACS SYNTHETIC BIOLOGY 10 (3) : 640-645. ScholarBank@NUS Repository. https://doi.org/10.1021/acssynbio.0c00499 | |
dc.identifier.issn | 21615063 | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/191306 | |
dc.description.abstract | The combination of single-cell RNA sequencing with CRISPR inhibition/activation provides a high-throughput approach to simultaneously study the effects of hundreds if not thousands of gene perturbations in a single experiment. One recent development in CRISPR-based single-cell techniques introduces a feature barcoding technology that allows for the simultaneous capture of mRNA and guide RNA (gRNA) from the same cell. This is achieved by introducing a capture sequence, whose complement can be incorporated into each gRNA and that can be used to amplify these features prior to sequencing. However, because the technology is in its infancy, there is little information available on how such experimental parameters can be optimized. To overcome this, we varied the capture sequence, capture sequence position, and gRNA backbone to identify an optimal gRNA scaffold for CRISPR activation gene perturbation studies. We provide a report on our screening approach along with our observations and recommendations for future use. | |
dc.language.iso | en | |
dc.publisher | AMER CHEMICAL SOC | |
dc.source | Elements | |
dc.subject | CRISPR activation | |
dc.subject | hESC | |
dc.subject | Overexpression | |
dc.subject | Transcription Factors | |
dc.subject | Single-cell RNAseq | |
dc.subject | Feature barcoding technology | |
dc.type | Article | |
dc.date.updated | 2021-05-18T10:01:38Z | |
dc.contributor.department | DEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL) | |
dc.contributor.department | DUKE-NUS MEDICAL SCHOOL | |
dc.description.doi | 10.1021/acssynbio.0c00499 | |
dc.description.sourcetitle | ACS SYNTHETIC BIOLOGY | |
dc.description.volume | 10 | |
dc.description.issue | 3 | |
dc.description.page | 640-645 | |
dc.published.state | Published | |
Appears in Collections: | Staff Publications Elements |
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File | Description | Size | Format | Access Settings | Version | |
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Choo et al Manuscript.pdf | Submitted version | 2.99 MB | Adobe PDF | OPEN | Post-print | View/Download |
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